The Two Biggest Revolutions
Are Already Here.
Is Your Company Ready?
EGNITE prepares energy, chemical, mineral, and industrial companies for the AI era and the quantum computing era — through GEO visibility, marketing strategy, expert consultancy, and post-quantum security.
Your Buyers Have Already Moved.
Has Your Marketing?
When a procurement engineer asks ChatGPT 'best calcium carbonate supplier for breathable films' — is your brand cited? Or is it your competitor?
The average industrial B2B page scores 38/100 for AI discoverability. Most companies don't know this number exists. Their competitors do.
Quantum computers will break today's encryption. 'Harvest Now, Decrypt Later' attacks are already happening. Your long-lived technical data is at risk — today.
Three Offers. One Mission:
Prepare You for What's Next.
AI Visibility & GEO
Your brand needs to appear when buyers ask AI for recommendations. We audit your pages for LLM discoverability, generate structured data (JSON-LD), track your visibility score across ChatGPT, Perplexity, Claude, and Gemini — and show you exactly how to outrank competitors in AI answers.
- GEO Score Audit (5 dimensions)
- AI Visibility Tracking across 5 engines
- JSON-LD & Structured Data Generation
- Competitor Benchmarking
- LLM-Optimized Content Rewrite
Post-Quantum Security (PQC)
Quantum computers will break today's RSA and ECC encryption. We help energy, chemical, nuclear, and mining companies assess their quantum risk, build a migration roadmap, and implement NIST FIPS 203/204/205 post-quantum cryptography before EU mandates arrive. Start now — transition takes 2–4 years.
- Quantum Readiness Score Assessment
- PQC Migration Roadmap
- IronVault — PQC-Secured Document Protection
- Critical Infrastructure Focus
- NIST FIPS 203/204/205 Compliant
Elite Lebanese Talent Recruitment
The top 1% of Lebanese engineers, scientists, market analysts, and consultants — trilingual (French/English/Arabic), EU time-zone, AUB/USJ/LAU trained. Same caliber as your European hires at 40–60% of the cost. Zero quality compromise. We find, vet, and place them within 4 weeks.
- Chemical & Materials Engineers
- Market Analysts & Intelligence Experts
- B2B Sales & Business Development
- Customer Success (trilingual)
- 4-week placement guarantee
Built by Industrial Experts.
Not Generic Consultants.
Our team has worked inside chemicals, minerals, polymers, and energy — not just consulted from the outside. We speak your language: d50, MVTR, REACH, CAPEX, PFD.
Senior European strategy and AI consultants combined with high-caliber Lebanese execution talent. You get world-class output at a competitive cost structure.
GEO scores, AI citation rates, quantum readiness scores — we turn ambiguous transformation challenges into trackable metrics you can present to your board.
- ●2022Founded Egnite in Lebanon
- ●2024Launched GEO visibility consulting for industrial B2B
- ●2025Built OmniGEO SaaS platform
- ●2026Launched PQC readiness offering for critical infrastructure
- ●2027Becoming the AI & Quantum readiness platform for industrial Europe (goal)
Industries We Prepare for What's Next
If your industry runs on long-lived data, complex supply chains, and technical buyers — we built this for you.
Start Your AI Readiness Journey Today
Free GEO scan. No credit card. Results in 60 seconds.
Latest from the Blog
Why OmniGEO Shield: Unified GEO + Post-Quantum Readiness in One Workspace
Most tools track one engine, score one dimension, or scan one risk. OmniGEO Shield is the only platform that unifies live multi-engine GEO scoring, competitor breakdown, schema rewriting, and FIPS 203/204/205 readiness — built for industrial B2B.
GEO Visibility in the AI Era: Why Being Cited Beats Being Ranked
Click-through is dying. Citation share is the new Share of Voice. Here is what GEO visibility actually means in the age of ChatGPT, Claude, Perplexity, Gemini and Copilot.
GEO Is the New Real Estate: Why AI Answer Space Is the Most Valuable Land of 2026
Billboards and page-one rankings used to be prime location. In the AI era, the most valuable land is being cited inside the answer itself.